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PloS One 2023Female students in institutions of higher education are at higher risk of abortion and its consequences. There is no nationally representative data on induced abortion... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Female students in institutions of higher education are at higher risk of abortion and its consequences. There is no nationally representative data on induced abortion among students in higher education institutions in Ethiopia. Hence, this study aimed to estimate the pooled prevalence of induced abortion among female students in institutions of higher education in Ethiopia.
METHODS
This study used a systematic review and meta-analysis of studies conducted from January 1, 2010, to June 30, 2022, in Ethiopia. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. PubMed, Cochrane Library, Hinari, Google Scholar, CINAHL, and Global Health electronic databases were searched. The analysis was performed using STATA 14 software. Heterogeneity and publication bias were assessed using I2 statistics and Egger's test, respectively. Duval and Tweedie's 'trim and fill' method was also performed to adjust the pooled estimate. Forest plots were used to present the pooled prevalence with a 95% confidence interval (CI) of meta-analysis using the random effect model.
RESULTS
This systematic review and meta-analysis included a total of 10 studies and 4656 study participants. The pooled prevalence of induced abortion among female students in institutions of higher education in Ethiopia was 5.06% (95%CI: 2.16, 7.96). The rate of induced abortion was 51 per 1000 women.
CONCLUSIONS
The pooled prevalence of induced abortion among female students in institutions of higher education in Ethiopia was high. Thus, concerned bodies should design and implement an effective strategy to realize friendly and non-judgmental family planning and comprehensive abortion care service to curb the problem.
Topics: Pregnancy; Humans; Female; Ethiopia; Abortion, Induced; Universities; Schools; Students; Abortion, Spontaneous; Prevalence
PubMed: 36662902
DOI: 10.1371/journal.pone.0280084 -
Particle and Fibre Toxicology Jan 2023Adverse outcome pathways (AOPs) are conceptual frameworks that organize knowledge about biological interactions and toxicity mechanisms. They present a sequence of...
BACKGROUND
Adverse outcome pathways (AOPs) are conceptual frameworks that organize knowledge about biological interactions and toxicity mechanisms. They present a sequence of events commencing with initial interaction(s) of a stressor, which defines the perturbation in a biological system (molecular initiating event, MIE), and a dependent series of key events (KEs), ending with an adverse outcome (AO). AOPs have recently become the subject of intense studies in a view to better understand the mechanisms of nanomaterial (NM) toxicity. Silver nanoparticles (Ag NPs) are one of the most explored nanostructures and are extensively used in various application. This, in turn, has increased the potential for interactions of Ag NPs with environments, and toxicity to human health. The aim of this study was to construct a putative AOPs (pAOP) related to reproductive toxicity of Ag NPs, in order to lay the groundwork for a better comprehension of mechanisms affecting both undesired toxicity (against human cell) and expected toxicity (against microorganisms).
METHODS
PubMed and Scopus were systematically searched for peer-reviewed studies examining reproductive toxicity potential of Ag NPs. The quality of selected studies was assessed through ToxRTool. Eventually, forty-eight studies published between 2005 and 2022 were selected to identify the mechanisms of Ag NPs impact on reproductive function in human male. The biological endpoints, measurements, and results were extracted from these studies. Where possible, endpoints were assigned to a potential KE and an AO using expert judgment. Then, KEs were classified at each major level of biological organization.
RESULTS
We identified the impairment of intracellular SH-containing biomolecules, which are major cellular antioxidants, as a putative MIE, with subsequent KEs defined as ROS accumulation, mitochondrial damage, DNA damage and lipid peroxidation, apoptosis, reduced production of reproductive hormones and reduced quality of sperm. These successive KEs may result in impaired male fertility (AO).
CONCLUSION
This research recapitulates and schematically represents complex literature data gathered from different biological levels and propose a pAOP related to the reproductive toxicity induced by AgNPs. The development of AOPs specific to NMs should be encouraged in order to provide new insights to gain a better understanding of NP toxicity.
Topics: Animals; Male; Humans; Adverse Outcome Pathways; Metal Nanoparticles; Silver; Semen; Genitalia, Male; Mammals
PubMed: 36604752
DOI: 10.1186/s12989-022-00511-9 -
Academic Pediatrics 2023Given the potential for social media to spread health misinformation, it is important to understand how trusts impact adolescents' engagement with health content on... (Review)
Review
BACKGROUND
Given the potential for social media to spread health misinformation, it is important to understand how trusts impact adolescents' engagement with health content on social media.
OBJECTIVE
To explore the concept of trust when adolescents (13-18 years) engage with health information on social media. Five relevant databases (MEDLINE, EMBASE, PsycINFO, ERIC, and CINAHL) were systematically searched alongside Google Scholar and reference lists of included papers. Studies were included if they examined adolescents' trust when engaging with health information on social media.
STUDY APPRAISAL AND SYNTHESIS METHODS
Thematic analysis was used to synthesize the findings from this review.
RESULTS
Thirty-four papers were included. Three key domains were explored: trust in the social media platform/service (general distrust of social media for health information; safety and privacy); trust in other users (mistrust of unknown users; fear of bullying or judgment; trust in friends or peers; celebrities and popularity; trust in others' experience and the importance of social support); trust in content (tone and appearance of health information; expertise and verification; advertising, pushed, and suggested content).
LIMITATIONS
Narrow geographic representation of papers and limited quantitative studies.
CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS
Adolescents' trust in health information on social media involves a complex interplay between trust in: social media platforms, other users, and health content. Central to many of the findings is the social and identity work done by adolescents on and through social media.
Topics: Humans; Adolescent; Social Media; Communication; Advertising; Friends; Social Support
PubMed: 36581098
DOI: 10.1016/j.acap.2022.12.011 -
Frontiers in Immunology 2022Recurrent spontaneous abortion (RSA) is defined as two or more pregnancy loss, affecting the happiness index of fertility couples. The mechanisms involved in the...
Recurrent spontaneous abortion (RSA) is defined as two or more pregnancy loss, affecting the happiness index of fertility couples. The mechanisms involved in the occurrence of RSA are not clear to date. The primary problem for the maternal immune system is how to establish and maintain the immune tolerance to the semi-allogeneic fetuses. During the pregnancy, decidual macrophages mainly play an important role in the immunologic dialogue. The purpose of this study is to explore decidual macrophages, and to understand whether there is a connection between these cells and RSA by analyzing their phenotypes and functions. Pubmed, Web of Science and Embase were searched. The eligibility criterion for this review was evaluating the literature about the pregnancy and macrophages. Any disagreement between the authors was resolved upon discussion and if required by the judgment of the corresponding author. We summarized the latest views on the phenotype, function and dysfunction of decidual macrophages to illuminate its relationship with RSA.
Topics: Pregnancy; Humans; Female; Decidua; Abortion, Habitual; Macrophages; Abortion, Induced
PubMed: 36569856
DOI: 10.3389/fimmu.2022.994888 -
Clinical Orthopaedics and Related... Apr 2023Tendinopathy, enthesopathy, labral degeneration, and pathologic conditions of the articular disc (knee meniscus and ulnocarpal) are sometimes described in terms of...
BACKGROUND
Tendinopathy, enthesopathy, labral degeneration, and pathologic conditions of the articular disc (knee meniscus and ulnocarpal) are sometimes described in terms of inflammation or damage, while the histopathologic findings are often consistent with mucoid degeneration. A systematic review of the histopathology of these structures at diverse locations might reconceptualize these diseases as expected aspects of human aging. The potential benefits of this evolution might include healthier patient and clinician mindsets as well as a reduced likelihood of overdiagnosis and overtreatment resulting from greater awareness of base rates of pathology.
QUESTION/PURPOSE
In this systematic review of studies of surgical specimens, we asked: Are there are any differences in the histopathologic findings of structural soft tissue conditions (mucoid degeneration, inflammation, and vascularity) by anatomic site (foot, elbow, or knee) or structure (tendon body, muscle or tendon origin or insertion [enthesis], labrum, or articular disc)?
METHODS
Studies between 1980 and 2021 investigating the histopathologic findings of specimens from surgery for trigger digit, de Quervain tendinopathy, plantar fasciitis, lateral and medial elbow enthesopathy, rotator cuff tendinopathy, posterior tibial tendinopathy, patellar tendinopathy, Achilles tendinopathy, or disease of the hip labrum, ulnocarpal articular disc, or knee meniscus were searched for in the PubMed, EMBASE, and CINAHL databases. Inclusion criteria were the prespecified anatomic location or structure being analyzed histologically and any findings described with respect to inflammation, vascularity, or mucoid degeneration. Studies were excluded if they were nonhuman studies or review articles. Search terms included "anatomy," "pathology," and "histopathology." These terms were coupled with anatomic structures or disorders and included "trigger finger," "de Quervain," "fasciitis, plantar," "tennis elbow," "rotator cuff tendinopathy," "elbow tendinopathy," "patellar tendonitis," "posterior tibial tendon," and "triangular fibrocartilage." This resulted in 3196 studies. After applying the inclusion criteria, 559 articles were then assessed for eligibility according to our exclusion criteria, with 52 eventually included. We recorded whether the study identified the following histopathologic findings: inflammatory cells or molecular markers, greater than expected vascularity (categorized as quantitative count, with or without controls; molecular markers; or qualitative judgments), and features of mucoid degeneration (disorganized collagen, increased extracellular matrix, or chondroid metaplasia). In the absence of methods for systematically evaluating the pathophysiology of structural (collagenous) soft tissue structures and rating histopathologic study quality, all studies that interpreted histopathology results were included. The original authors' judgment regarding the presence or absence of inflammation, greater than expected vascularity, and elements of mucoid degeneration was recorded along with the type of data used to reach that conclusion.
RESULTS
Regarding differences in the histopathology of surgical specimens of structural soft tissue conditions by anatomic site, there were no differences in inflammation or mucoid degeneration, and the knee meniscus was less often described as having greater than normal vascularity. There were no differences by anatomic structure. Overall, 20% (10 of 51) of the studies that investigated for inflammation reported it (nine inflammatory cells and one inflammatory marker). Eighty-three percent (43 of 52) interpreted increased vascularity: 40% (17 of 43) using quantitative methods (14 with controls and three without) and 60% (26 of 43) using imprecise criteria. Additionally, 100% (all 52 studies) identified at least one element of mucoid degeneration: 69% (36 of 52) reported an increased extracellular matrix, 71% (37 of 52) reported disorganized collagen, and 33% (17 of 52) reported chondroid metaplasia.
CONCLUSION
Our systematic review of the histopathology of diseases of soft tissue structures (enthesopathy, tendinopathy, and labral and articular disc) identified consistent mucoid degeneration, minimal inflammation, and imprecise assessment of relative vascularity; these findings were consistent across anatomic sites and structures, supporting a reconceptualization of these diseases as related to aging (senescence or degeneration) rather than injury or activity.
CLINICAL RELEVANCE
This reconceptualization supports accommodative mindsets known to be associated with greater comfort and capability. In addition, awareness of the notable base rates of structural soft tissue changes as people age might reduce overdiagnosis and overtreatment of incidental, benign, or inconsequential signal changes and pathophysiology.
Topics: Humans; Tendinopathy; Enthesopathy; Achilles Tendon; Joint Diseases; Spinal Diseases; Inflammation; Meniscus
PubMed: 36563131
DOI: 10.1097/CORR.0000000000002499 -
Journal of the American Geriatrics... Feb 2023Older adults are characterized by profound clinical heterogeneity. When designing and delivering interventions, there exist multiple approaches to account for...
Older adults are characterized by profound clinical heterogeneity. When designing and delivering interventions, there exist multiple approaches to account for heterogeneity. We present the results of a systematic review of data-driven, personalized interventions in older adults, which serves as a use case to distinguish the conceptual and methodologic differences between individualized intervention delivery and precision health-derived interventions. We define individualized interventions as those where all participants received the same parent intervention, modified on a case-by-case basis and using an evidence-based protocol, supplemented by clinical judgment as appropriate, while precision health-derived interventions are those that tailor care to individuals whereby the strategy for how to tailor care was determined through data-driven, precision health analytics. We discuss how their integration may offer new opportunities for analytics-based geriatric medicine that accommodates individual heterogeneity but allows for more flexible and resource-efficient population-level scaling.
Topics: Humans; Aged; Precision Medicine; Geriatrics
PubMed: 36524627
DOI: 10.1111/jgs.18141 -
International Journal of Nursing Studies Feb 2023Nursing data consist of observations of patients' conditions and information on nurses' clinical judgment based on critically ill patients' behavior and physiological...
BACKGROUND
Nursing data consist of observations of patients' conditions and information on nurses' clinical judgment based on critically ill patients' behavior and physiological signs. Nursing data in electronic health records were recently emphasized as important predictors of patients' deterioration but have not been systematically reviewed.
OBJECTIVE
We conducted a systematic review of prediction models using nursing data for clinical outcomes, such as prolonged hospital stay, readmission, and mortality in intensive care patients, compared to physiological data only. In addition, the type of nursing data used in prediction model developments was investigated.
DESIGN
A systematic review.
METHODS
PubMed, CINAHL, Cochrane CENTRAL, EMBASE, IEEE Xplore Digital Library, Web of Science, and Scopus were searched. Clinical outcome prediction models using nursing data for intensive care patients were included. Clinical outcomes were prolonged hospital stay, readmission, and mortality. Data were extracted from selected studies such as study design, data source, outcome definition, sample size, predictors, reference test, model development, model performance, and evaluation. The risk of bias and applicability was assessed using the Prediction model Risk of Bias Assessment Tool checklist. Descriptive summaries were produced based on paired forest plots and summary receiver operating characteristic curves.
RESULTS
Sixteen studies were included in the systematic review. The data types of predictors used in prediction models were categorized as physiological data, nursing data, and clinical notes. The types of nursing data consisted of nursing notes, assessments, documentation frequency, and flowsheet comments. The studies using physiological data as a reference test showed higher predictive performance in combined data or nursing data than in physiological data. The overall risk of bias indicated that most of the included studies have a high risk.
CONCLUSIONS
This study was conducted to identify and review the diagnostic accuracy of clinical outcome prediction using nursing data in intensive care patients. Most of the included studies developed models using nursing notes, and other studies used nursing assessments, documentation frequency, and flowsheet comments. Although the findings need careful interpretation due to the high risk of bias, the area under the curve scores of nursing data and combined data were higher than physiological data alone. It is necessary to establish a strategy in prediction modeling to utilize nursing data, clinical notes, and physiological data as predictors, considering the clinical context rather than physiological data alone.
REGISTRATION
The protocol for this study is registered with PROSPERO (registration number: CRD42021273319).
Topics: Humans; Critical Care; Length of Stay
PubMed: 36495596
DOI: 10.1016/j.ijnurstu.2022.104411 -
BioMed Research International 2022To evaluate and summarize the best evidence for nonpharmacological management of chemotherapy induced nausea and vomiting (CINV). This article aims at serving as a...
OBJECTIVE
To evaluate and summarize the best evidence for nonpharmacological management of chemotherapy induced nausea and vomiting (CINV). This article aims at serving as a reference for nursing staff to prevent and manage CINV.
METHODS
We systematically searched for evidence on CINV in databases such as Cnki and Wanfang, guide websites such as GIN and NZGG, and professional websites such as UICC and ACS. Only articles published between November 2012 and November 2021 were considered for inclusion in the summary. Two researchers evaluated the quality of the literature and extracted the data.
RESULTS
A total of 22 articles were included in this study, including 3 clinical decisions, 2 guidelines, 1 evidence summary, 2 recommended practices, 13 systematic reviews, and 1 expert consensus. Finally, 15 pieces of evidence were summarized from 3 perspectives: risk factor assessment, nursing process specification, and nonpharmacological interventions.
CONCLUSION
Our research summarizes the best evidence on nonpharmacological management of CINV. During actual clinical application, it is necessary to fully consider the clinical situation, combine professional judgment with patients' wishes, follow the principle of individualization, analyze the obstacles and facilitating factors of the application of evidence, and prudently apply the evidence to the clinical practice.
Topics: Humans; Nausea; Vomiting; Consensus; Databases, Factual; Antineoplastic Agents
PubMed: 36467880
DOI: 10.1155/2022/4741193 -
Journal of Orthopaedic Surgery and... Dec 2022In the emergency room, clinicians spend a lot of time and are exposed to mental stress. In addition, fracture classification is important for determining the surgical...
BACKGROUND
In the emergency room, clinicians spend a lot of time and are exposed to mental stress. In addition, fracture classification is important for determining the surgical method and restoring the patient's mobility. Recently, with the help of computers using artificial intelligence (AI) or machine learning (ML), diagnosis and classification of hip fractures can be performed easily and quickly. The purpose of this systematic review is to search for studies that diagnose and classify for hip fracture using AI or ML, organize the results of each study, analyze the usefulness of this technology and its future use value.
METHODS
PubMed Central, OVID Medline, Cochrane Collaboration Library, Web of Science, EMBASE, and AHRQ databases were searched to identify relevant studies published up to June 2022 with English language restriction. The following search terms were used [All Fields] AND (", "[MeSH Terms] OR (""[All Fields] AND "bone"[All Fields]) OR "bone fractures"[All Fields] OR "fracture"[All Fields]). The following information was extracted from the included articles: authors, publication year, study period, type of image, type of fracture, number of patient or used images, fracture classification, reference diagnosis of fracture diagnosis and classification, and augments of each studies. In addition, AI name, CNN architecture type, ROI or important region labeling, data input proportion in training/validation/test, and diagnosis accuracy/AUC, classification accuracy/AUC of each studies were also extracted.
RESULTS
In 14 finally included studies, the accuracy of diagnosis for hip fracture by AI was 79.3-98%, and the accuracy of fracture diagnosis in AI aided humans was 90.5-97.1. The accuracy of human fracture diagnosis was 77.5-93.5. AUC of fracture diagnosis by AI was 0.905-0.99. The accuracy of fracture classification by AI was 86-98.5 and AUC was 0.873-1.0. The forest plot represented that the mean AI diagnosis accuracy was 0.92, the mean AI diagnosis AUC was 0.969, the mean AI classification accuracy was 0.914, and the mean AI classification AUC was 0.933. Among the included studies, the architecture based on the GoogLeNet architectural model or the DenseNet architectural model was the most common with three each. Among the data input proportions, the study with the lowest training rate was 57%, and the study with the highest training rate was 95%. In 14 studies, 5 studies used Grad-CAM for highlight important regions.
CONCLUSION
We expected that our study may be helpful in making judgments about the use of AI in the diagnosis and classification of hip fractures. It is clear that AI is a tool that can help medical staff reduce the time and effort required for hip fracture diagnosis with high accuracy. Further studies are needed to determine what effect this causes in actual clinical situations.
Topics: Humans; Artificial Intelligence; Hip Fractures; Machine Learning; Databases, Factual; Emergency Service, Hospital
PubMed: 36456982
DOI: 10.1186/s13018-022-03408-7